Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JMN_2017-12-28_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JLN_2017-12-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-04-03_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-04-23_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLM_2018-05-07_final
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50HLG_2018-05-17_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50KLU_2018-07-19_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JMR_2018-08-05_final
2018-11-16 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2018-11-16_final
2018-11-16 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2018-11-16_final
2018-11-27 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2018-11-27_final
2018-11-27 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2018-11-27_final
2018-11-29 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2018-11-29_final
2018-12-29 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2018-12-29_final
2019-01-18 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-01-18_final
2019-03-13 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2019-03-13_final
2019-03-23 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2019-03-23_final
2019-04-05 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2019-04-05_final.stac-item
2019-05-22 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-05-22_final
2019-06-04 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-06-04_final
2019-06-24 12:04:04	ga_s2bm_ard_3-2-1_50KLA_2019-06-24_final
2019-06-28 11:43:30	ga_s2bm_ard_3-2-1_50KQC_2019-06-28_final
2019-06-28 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-28_final
2019-07-24 12:06:04	ga_s2bm_ard_3-2-1_50JKN_2019-07-24_final
2019-08-13 12:04:34	ga_s2bm_ard_3-2-1_49KHP_2019-08-13_final
2019-10-15 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2019-10-15_final
2019-12-15 11:45:12	ga_s2bm_ard_3-2-1_50JQQ_2019-12-15_final
2019-12-18 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-18_final
2019-12-21 12:03:36	ga_s2bm_ard_3-2-1_50KLB_2019-12-21_final
2019-12-31 12:03:28	ga_s2bm_ard_3-2-1_50KNB_2019-12-31_final
2020-01-01 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2020-01-01_final.stac-item
2020-01-13 12:14:02	ga_s2bm_ard_3-2-1_50KKV_2020-01-13_final
2020-01-20 12:04:00	ga_s2bm_ard_3-2-1_50KMV_2020-01-20_final
2020-01-21 11:36:13	ga_s2bm_ard_3-2-1_50JQL_2020-01-21_final
2020-03-10 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2020-03-10_final
2020-03-30 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2020-03-30_final
2020-04-26 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2020-04-26_final
2020-05-02 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2020-05-02_final
2020-05-06 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2020-05-06_final
2020-07-09 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-07-09_final
2020-09-13 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2020-09-13_final
2020-09-20 11:43:24	ga_s2bm_ard_3-2-1_50KQC_2020-09-20_final
2020-10-10 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2020-10-10_final
2020-10-23 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2020-10-23_final
2020-11-15 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2020-11-15_final
2020-11-15 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2020-11-15_final
2020-11-29 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2020-11-29_final
2020-12-02 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2020-12-02_final
2021-01-04 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-01-04_final
2021-01-11 11:53:38	ga_s2bm_ard_3-2-1_50KNB_2021-01-11_final
2021-01-14 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-01-14_final
2021-01-31 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2021-01-31_final
2021-03-09 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-09_final.stac-item
2021-07-10 11:55:08	ga_s2bm_ard_3-2-1_50JNR_2021-07-10_final
2021-07-27 11:45:48	ga_s2bm_ard_3-2-1_50JQN_2021-07-27_final
2021-08-02 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2021-08-02_final
2021-08-02 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-08-02_final
2021-10-08 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2021-10-08_final
2021-10-18 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-10-18_final
2021-10-28 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-10-28_final
2021-11-20 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2021-11-20_final
2021-12-04 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-12-04_final
2022-01-13 11:44:45	ga_s2bm_ard_3-2-1_50JQS_2022-01-13_final
2022-01-29 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2022-01-29_final
2022-02-01 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-02-01_final
2022-02-05 11:55:45	ga_s2bm_ard_3-2-1_50JLN_2022-02-05_final
2022-02-08 12:04:50	ga_s2bm_ard_3-2-1_49JHM_2022-02-08_final
2022-02-12 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-02-12_final
2022-03-10 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2022-03-10_final
2022-04-10 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2022-04-10_final
2022-04-16 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2022-04-16_final
2022-06-05 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2022-06-05_final
2022-06-28 12:03:32	ga_s2bm_ard_3-2-1_50KLC_2022-06-28_final
2022-08-27 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2022-08-27_final
2022-08-31 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2022-08-31_final
2022-10-19 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-10-19_final.stac-item
2022-11-02 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2022-11-02_final.stac-item
2022-11-12 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2022-11-12_final.stac-item
2023-01-07 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-07_final.stac-item
2023-01-14 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2023-01-14_final.stac-item
2023-01-24 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2023-01-24_final.stac-item
2023-01-31 11:56:13	ga_s2bm_ard_3-2-1_50JML_2023-01-31_final.stac-item
2023-02-23 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-02-23_final.stac-item
2023-04-28 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2023-04-28_final.stac-item
2023-05-31 11:53:28	ga_s2bm_ard_3-2-1_50KNC_2023-05-31_final.stac-item
2023-06-30 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-06-30_final.stac-item
2023-06-30 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-30_final.stac-item
2023-07-10 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-07-10_final.stac-item
2023-07-20 11:56:24	ga_s2bm_ard_3-2-1_50JNL_2023-07-20_final.stac-item
2023-12-14 11:46:24	ga_s2bm_ard_3-2-1_50JML_2023-12-14_final.stac-item
2023-12-24 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2023-12-24_final.stac-item
2024-01-13 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2024-01-13_final.stac-item
2024-02-01 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2024-02-01_final.stac-item
2024-02-08 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2024-02-08_final.stac-item
2024-03-19 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2024-03-19_final.stac-item
2024-04-01 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2024-04-01_final.stac-item
2024-04-19 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2024-04-19_final.stac-item
2024-04-19 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2024-04-19_final.stac-item
2024-05-02 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2024-05-02_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years